Abstract

IntroductionThe CDKN2A gene plays a central role in the pathogenesis of malignant pleural mesothelioma (MPM). The gene encodes for two tumor suppressor proteins, p16/INK4A and p14/ARF, frequently lost in MPM tumors. The exact role of p14/ARF in MPM and overall its correlation with the immune microenvironment is unknown. We aimed to determine whether there is a relationship between p14/ARF expression, tumor morphological features, and the inflammatory tumor microenvironment.MethodsDiagnostic biopsies from 76 chemo-naive MPMs were evaluated. Pathological assessments of histotype, necrosis, inflammation, grading, and mitosis were performed. We evaluated p14/ARF, PD-L1 (tumor proportion score, TPS), and Ki-67 (percentage) by immunohistochemistry. Inflammatory cell components (CD3+, CD4+, CD8+ T lymphocytes; CD20+ B-lymphocytes; CD68+ and CD163+ macrophages) were quantified as percentages of positive cells, distinguishing between intratumoral and peritumoral areas. The expression of p14/ARF was associated with several clinical and pathological characteristics. A random forest-based machine-learning algorithm (Boruta) was implemented to identify which variables were associated with p14/ARF expression.Resultsp14/ARF was evaluated in 68 patients who had a sufficient number of tumor cells. Strong positivity was detected in 14 patients (21%) (11 epithelioid and 3 biphasic MPMs). At univariate analysis, p14/ARF-positive epithelioid mesotheliomas showed higher nuclear grade (G3) (p = 0.023) and higher PD-L1 expression (≥50%) (p = 0.042). The percentages of CD4 and CD163 in peritumoral areas were respectively higher and lower in p14/ARF positive tumors but did not reach statistical significance with our sample size (both p = 0.066). The Boruta algorithm confirmed the predictive value of PD-L1 percentage for p14/ARF expression in all histotypes.Conclusionsp14/ARF-positive epithelioid mesotheliomas may mark a more aggressive pathological phenotype (higher nuclear grade and PD-L1 expression). Considering the results regarding the tumor immune microenvironment, p14/ARF-negative tumors seem to have an immune microenvironment less sensitive to immune checkpoint inhibitors, being associated with low PD-L1 and CD4 expression, and high CD163 percentage. The association between p14/ARF-positive MPMs and PD-L1 expression suggests a possible interaction of the two pathways. Confirmation of our preliminary results could be important for patient selection and recruitment in future clinical trials with anticancer immunotherapy.

Highlights

  • The cyclin-dependent kinase inhibitor 2A (CDKN2A) gene plays a central role in the pathogenesis of malignant pleural mesothelioma (MPM)

  • Seventy-six chemo naive MPM patients were enrolled in the study. p14/ARF was evaluable in 68 (89%) MPM samples containing a sufficient number of tumor cells

  • Restricted mean survival time at 6 and 12 months showed no differences between the two arms adjusted for age and sex: 6 months estimate -0.24: 12 months estimate -0.34 (95%CI -2.10; 1.71, p = 0.742). p14/ARF expression was correlated with histotype, necrosis, inflammation, all inflammatory cell subtypes and PD-L1 values; at univariate analysis, a significant association was achieved between p14/ARF positivity and high PD-L1 expression in tumor cells (p = 0.015) (Figure 2)

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Summary

Introduction

The CDKN2A gene plays a central role in the pathogenesis of malignant pleural mesothelioma (MPM). Malignant pleural mesothelioma (MPM), an occupational disease mainly due to asbestos exposure, is characterized by rapidly progressive and diffusely local growth, late metastases and poor prognosis. The awareness of a strict interaction between tumor cells and tumor microenvironment (TME) [2] have offered new therapeutic opportunities with immunotherapeutic agents [3]. One such strategy is based on the treatments targeting the programmed cell death pathway (PD1/PD-L1) [4]. They are mainly related to the complexity of the TME structure and the mechanisms of resistance and inhibition, likely associated with the complex genetic profiling of the tumor [5]

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